Difference between revisions of "2010 Challenge on Context-aware Movie Recommendation"
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(Created page with "The 2010 Challenge on Context-aware Movie Recommendation was held at the 2010 Recommender Systems Conference and consisted of three context-specific tracks. ====T...") |
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The social recommendation track focused on recommending movies based on users' social connections, the dataset was an anonymized subset of the data collected by Filmtipset. | The social recommendation track focused on recommending movies based on users' social connections, the dataset was an anonymized subset of the data collected by Filmtipset. | ||
| − | + | == External links == | |
| − | *[http://www.dai-labor.de/camra2010/ Challenge Website] | + | * [http://www.dai-labor.de/camra2010/ Challenge Website] |
| − | *[http://portal.acm.org/citation.cfm?id=1869652&picked=prox&cfid=6592400&cftoken=81346418 Proceedings of the 2010 Challenge on Context-aware Movie Recommendation at the ACM Digital Library] | + | * [http://portal.acm.org/citation.cfm?id=1869652&picked=prox&cfid=6592400&cftoken=81346418 Proceedings of the 2010 Challenge on Context-aware Movie Recommendation at the ACM Digital Library] |
| − | [[Category:Competition]] | + | [[Category: Competition]] |
| − | [[Category:Movie | + | [[Category: Movie recommendation]] |
Revision as of 04:35, 7 June 2011
The 2010 Challenge on Context-aware Movie Recommendation was held at the 2010 Recommender Systems Conference and consisted of three context-specific tracks.
Contents
Track 1 - Weekly Recommendation
The Weekly Recommendation track focused on recommending movies for the Christmas 2009 week and the Oscars' 2010 week in two datasets, both released exclusively for the challenge. One from Moviepilot and one from Filmtipset.
Track 2 - Mood-based Recommendation
The mood-based recommendation track focused on recommending movies with a specific emotion keyword. The dataset used was an anonymized subset of the data collected by Moviepilot.
Track 3 - Social Recommendation
The social recommendation track focused on recommending movies based on users' social connections, the dataset was an anonymized subset of the data collected by Filmtipset.
